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Precise distance measurement with stereo camera: experimental results.

Haydar Yanık¹, Bülent Turan²

¹Department of Electronics and Automation, Merzifon Vocational School, Amasya University, Amasya, Turkey.

Peerj. Computer Science

|September 24, 2025

Summary

A new image processing method, the Image Meter, achieved high sensitivity and accuracy for engineering distance measurements. This developed prototype demonstrated a lower error rate than a laser meter in most tests, showing promising results.

Keywords:

Distance measurement with image processing Embedded distance measurement IM Image meter Image processing Precise distance measurement Precise image meter

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Area of Science:

Engineering and Technology
Computer Science
Artificial Intelligence

Background:

Image processing is widely utilized in artificial intelligence and various fields due to the rich information contained in images.
Distance measurement studies have employed image processing techniques, but often lack the high sensitivity and accuracy required for engineering applications.

Purpose of the Study:

To experimentally evaluate an image processing method for high-sensitivity and high-accuracy distance measurement suitable for engineering.
To assess the performance of a developed prototype (Image Meter) against established measurement tools.

Main Methods:

Measured distances to 19 different target objects using a Total Station, a Laser Meter, and the developed Image Meter.
Utilized Total Station measurements as a reference for comparison.
Compared the error rates and results from the Laser Meter and the Image Meter.

Main Results:

The developed Image Meter exhibited a smaller error rate in 11 out of 19 object measurements compared to the Laser Meter.
Achieved an average error rate of 1.24% across 19 measurements.
Experimental results from the Image Meter were found to be acceptable when compared with theoretical calculations.

Conclusions:

The developed Image Meter demonstrates potential for accurate engineering distance measurements.
Further improvements in accuracy are possible through mechanical adjustments.
The image processing approach offers a viable alternative for precise distance determination in engineering contexts.